Modeling Spatial Interactions (SE Turkey)
Daniel Knitter
05 August, 2017
Abstract
Text of abstract
1 Ideas to be put in analyses
- use data from Harran plain
- use size of settlements
- create network of sites
- calculate centrality parameters based on network
- use centrality parameter as “attractiveness”
- use size as “Oi” parameter
- create nice graphs and maps based on that.
Question: Is the network location mirrored in the size of a settlement? This can be analyzed because the singly-constrained gravity model (also in the entropy maximization case) can be seen as a location model. The more flows that are attracted, the more important is a site
2 Analyses
2.1 Load Data
#> OGR data source with driver: ESRI Shapefile
#> Source: "../data/raw_data", layer: "harran_plain"
#> with 1 features
#> It has 1 fields
#> Integer64 fields read as strings: id
#> OGR data source with driver: ESRI Shapefile
#> Source: "../data/raw_data", layer: "settlements"
#> with 745 features
#> It has 3 fields
#> Integer64 fields read as strings: id2.2 Create Delaunay Graph and calculate the distances between the connected points
2.3 Interaction
2.4 Network measures as attributes for Interaction
2.4.1 What is the influence of different beta values on the location importance of sites?
First, let us have a look at changing \(\beta\) values for the power function
#> beta si degree
#> 76 0.1 9.667618 6
#> 77 0.1 5.822126 5
#> 94 0.1 8.141451 5
#> 96 0.1 7.684073 5
#> 97 0.1 8.763060 5
#> 143 0.1 12.370666 7
2.4.2 Colophon
This report was generated on 2017-08-05 16:30:44 using the following computational environment and dependencies:
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#> yaml 2.1.14 2016-11-12 CRAN (R 3.4.0)The current git commit of this file is f6b7f30ad17c2b4f78009ba43d4a1e9b0746900f, which is on the master branch and was made by Daniel Knitter on 2017-08-05 13:33:46. The current commit message is “add harran plain shapefile used for cropping the data”. The repository is online at git@github.com:CRC1266-A2/moin